3 years ago
A motion‐field‐based data‐driven method for hair animation
We propose a motion‐field‐based data‐driven approach that animates static hair models
from a set of precomputed motion data. We first sample a motion sequence to construct
a motion database from physics‐based hair simulation data or dynamic hair capture
data. We also define the preliminary definitions of motion states and construct a
motion field for this motion database. Finally, we generate a sequence of target hairstyle
from the input motion field by strand correspondence and motion control. Experimental
results show that our approach achieves comparable quality with physics‐based methods
but in orders of magnitude faster performance.
Publisher URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/cav.1822
DOI: 10.1002/cav.1822
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